@inproceedings{fb815f2cd041489c8dd729d408f8a5c8,
title = "Automated highway tag assessment of openstreetmap road networks",
abstract = "OpenStreetMap (OSM) has been demonstrated to be a valu-able source of spatial data in the context of many applica-tions. However concerns still exist regarding the quality of such data and this has limited the proliferation of its use. Consequently much research has been invested in the devel-opment of methods for assessing and/or improving the qual-ity of OSM data. However most of these methods require ground-truth data, which, in many cases, may not be avail-able. In this paper we present a novel solution for OSM data quality assessment that does not require ground-truth data. We consider the semantic accuracy of OSM street network data, and in particular, the associated semantic class (road class) information. A machine learning model is proposed that learns the geometrical and topological characteristics of different semantic classes of streets. This model is sub-sequently used to accurately determine if a street has been assigned a correct/incorrect semantic class.",
keywords = "Data Quality, Ma-chine Learning, OpenStreetMap, Street Network Analysis",
author = "Musfira Jilani and Padraig Corcoran and Michela Bertolotto",
note = "Publisher Copyright: {\textcopyright} Copyright 2014 ACM.; 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 ; Conference date: 04-11-2014 Through 07-11-2014",
year = "2014",
month = nov,
day = "4",
doi = "10.1145/2666310.2666476",
language = "English",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
publisher = "Association for Computing Machinery (ACM)",
pages = "449--452",
editor = "Markus Schneider and Michael Gertz and Yan Huang and Jagan Sankaranarayanan and John Krumm",
booktitle = "22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014",
address = "United States",
}